Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

🤖 A Python library for learning and evaluating knowledge graph embeddings

A curated list of awesome knowledge graph tutorials, projects and communities.

A knowledge graph and a set of tools for drug repurposing

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

[Tool] For Knowledge Graph Representation Learning

Implementations of Embedding-based methods for Knowledge Base Completion tasks

The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020.

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)

[Paper][ACM MM 2024] Making Large Language Models Perform Better in Knowledge Graph Completion

CoDEx: A set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia

Implementation of TransE model in PyTorch.

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)

SimplE Embedding for Link Prediction in Knowledge Graphs

Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.

WWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information

AAAI 2020 - InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions

Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)

Source code and datasets of EMNLP2018 paper: "Differentiating Concepts and Instances for Knowledge Graph Embedding".